Business Analyst

Applied Computing

. Support Project Managers in tracking timelines, budgets, resourcing, and deliverables across multiple concurrent customer deployments .

Posted 10/8/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills with proficiency in Spreadsheets and SQL, capable of transforming data into actionable insights for diverse audiences. Possesses a proactive mindset and organizational skills to manage multiple priorities effectively while supporting project management functions.

Highest-signal resume keywords

Analytical SkillsSpreadsheetsSQLPython ScriptingProject Management Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisProject TrackingRequirements GatheringProcess ImprovementDashboard Development

Soft Skills

Excellent CommunicationAttention to DetailOrganizational SkillsCuriosityProactive Mindset

Tools & Technologies

DashboardsReporting ToolsAutomation Tools

Industry Keywords

Process EngineeringData ScienceComputer ScienceEnergyIndustrial Operations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support Project Managers in tracking timelines, budgets, resourcing, and deliverables across multiple concurrent customer deployments
Build and maintain dashboards and reports showing project health and performance
Analyse project and operational data to identify trends, risks, and process-improvement opportunities
Gather and document requirements from internal and customer stakeholders for project scoping and planning
Partner with Engineering, Data Science, and Customer Success to translate business needs into actionable project plans
Help develop and refine internal processes, templates, and tools as the Project Management function scales
Prepare data-driven summaries and materials for internal reviews and customer-facing updates
Identify opportunities for automation or lightweight tooling to streamline recurring analysis and reporting

Requirements

What you’ll need

A degree in Process Engineering, Data Science, Computer Science, or another quantitative field (or equivalent practical experience)
Strong analytical skills and confidence working with data
Spreadsheets and SQL as standard
Scripting experience (e.g. Python) a plus
Excellent written and verbal communication
Ability to turn data into clear insights for technical and non-technical audiences
Highly organised, with strong attention to detail
Comfort managing multiple priorities at once
Proactive, curious mindset and willingness to ask questions and challenge assumptions
Genuine interest in energy, industrial operations, or applying AI to real-world problems
No prior professional experience required
Hunger to learn and contribute

Benefits

Comp & perks

No specific benefits or compensation extras stated